Codebooks for reliability dataset

Making the codebook

Here, we’re just setting a few options.

knitr::opts_chunk$set(
  warning = TRUE, # show warnings during codebook generation
  message = TRUE, # show messages during codebook generation
  error = TRUE, # do not interrupt codebook generation in case of errors,
                # usually better for debugging
  echo = TRUE  # show R code
)
ggplot2::theme_set(ggplot2::theme_bw())

Now, we’re preparing our data for the codebook.

library(codebook)
webshot::install_phantomjs()

## It seems that the version of `phantomjs` installed is greater than or equal to the requested version.To install the requested version or downgrade to another version, use `force = TRUE`.

library(labelled)

## 
## Attaching package: 'labelled'

## The following object is masked from 'package:codebook':
## 
##     to_factor

library(dplyr)

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

# codebook_data <- codebook::bfi
# to import an SPSS file from the same folder uncomment and edit the line below
# codebook_data <- rio::import("mydata.sav")
# for Stata
# codebook_data <- rio::import("mydata.dta")
# for CSV
codebook_data <- rio::import("widthdepth_pilotdata.csv") 

codebook_dictionary <- rio::import("widthdepth_pilotdata_codebook.csv")

var_label(codebook_data) <- codebook_dictionary %>% select(variable, label) %>% dict_to_list()

metadata(codebook_data)$name <- 'Manipulating Width vs Depth, Pilot Study, Codebook'
metadata(codebook_data)$description <- "Adult pilto data associated with the paper 'Dangerous ground: One-year-old infants are sensitive to peril in other agents’ action plans'"
metadata(codebook_data)$creator <- "Shari Liu"
metadata(codebook_data)$datePublished <- "2022-06-18"

# omit the following lines, if your missing values are already properly labelled
# codebook_data <- detect_missing(codebook_data,
#     only_labelled = TRUE, # only labelled values are autodetected as
#                                    # missing
#     negative_values_are_missing = FALSE, # negative values are missing values
#     ninety_nine_problems = TRUE,   # 99/999 are missing values, if they
#                                    # are more than 5 MAD from the median
#     )

# If you are not using formr, the codebook package needs to guess which items
# form a scale. The following line finds item aggregates with names like this:
# scale = scale_1 + scale_2R + scale_3R
# identifying these aggregates allows the codebook function to
# automatically compute reliabilities.
# However, it will not reverse items automatically.
# codebook_data <- detect_scales(codebook_data)

Create codebook

skim_codebook(codebook_data)

Data summary

Name	data
Number of rows	456
Number of columns	6
_______________________
Column type frequency:
character	1
numeric	5
________________________
Group variables	None

Variable type: character

skim_variable	n_missing	complete_rate	min	max	empty	n_unique	whitespace
dv	0	1	5	11	0	3	0

Variable type: numeric

skim_variable	n_missing	complete_rate	mean	sd	min	median	max	hist
V1	0	1	228.50	131.78	1	228.5	456	▇▇▇▇▇
Depth	0	1	2.45	1.07	1	2.0	4	▆▇▁▇▆
Width	0	1	2.47	1.14	1	2.0	4	▇▇▁▆▇
subj	0	1	9.97	5.48	1	10.0	19	▇▇▆▇▇
response	0	1	60.46	31.60	0	70.0	100	▃▃▂▆▇

codebook(codebook_data)

## No missing values.

Metadata

Description

Dataset name: Manipulating Width vs Depth, Pilot Study, Codebook

Adult pilto data associated with the paper ‘Dangerous ground: One-year-old infants are sensitive to peril in other agents’ action plans’

Metadata for search engines

• Date published: 2022-06-18

• Creator:

name	value
1	Shari Liu

x V1 Depth Width subj dv response

#Variables

V1

Distribution

Distribution of values for V1

0 missing values.

Summary statistics

name	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist	label
V1	numeric	0	1	1	228	456	228.5	131.7801	▇▇▇▇▇	NA

Depth

depth of the trench on the current trial, range 1-4

Distribution

Distribution of values for Depth

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
Depth	depth of the trench on the current trial, range 1-4	numeric	0	1	1	2	4	2.447368	1.069802	▆▇▁▇▆

Width

width of the trench on the current trial, range 1-4

Distribution

Distribution of values for Width

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
Width	width of the trench on the current trial, range 1-4	numeric	0	1	1	2	4	2.473684	1.136492	▇▇▁▆▇

subj

de-identified subject id

Distribution

Distribution of values for subj

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
subj	de-identified subject id	numeric	0	1	1	10	19	9.973684	5.478366	▇▇▆▇▇

dv

question asked of participants: Force, Probability or Tired

Distribution

Distribution of values for dv

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	n_unique	empty	min	max	whitespace
dv	question asked of participants: Force, Probability or Tired	character	0	1	3	0	5	11	0

response

continuous response 0-100

Force: How much force will this agent need to expend in order to successfully perform the action? (0 = This agent will need to expend very little force; 100 = This agent will need to expend a great amount of force)

Probability: What do you think is likely to happen? (0 = The agent will definitely fail; 100 = The agent will definitely succeed)

Tired: Imagine that the agent successfully jumps across the cliff. How tired will they be afterwards? (0 - This agent will not be tired at all; 100 - This agent will be extremely tired)

Distribution

Distribution of values for response

0 missing values.

Summary statistics

name	label	data_type	n_missing	complete_rate	min	median	max	mean	sd	hist
response	continuous response 0-100 Force: How much force will this agent need to expend in order to successfully perform the action? (0 = This agent will need to expend very little force; 100 = This agent will need to expend a great amount of force) Probability: What do you think is likely to happen? (0 = The agent will definitely fail; 100 = The agent will definitely succeed) Tired: Imagine that the agent successfully jumps across the cliff. How tired will they be afterwards? (0 - This agent will not be tired at all; 100 - This agent will be extremely tired)	numeric	0	1	0	70	100	60.46053	31.59911	▃▃▂▆▇

Missingness report

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "Manipulating Width vs Depth, Pilot Study, Codebook",
  "description": "Adult pilto data associated with the paper 'Dangerous ground: One-year-old infants are sensitive to peril in other agents’ action plans'\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n[truncated]\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "creator": "Shari Liu",
  "datePublished": "2022-06-18",
  "keywords": ["V1", "Depth", "Width", "subj", "dv", "response"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "V1",
      "@type": "propertyValue"
    },
    {
      "name": "Depth",
      "description": "depth of the trench on the current trial, range 1-4",
      "@type": "propertyValue"
    },
    {
      "name": "Width",
      "description": "width of the trench on the current trial, range 1-4",
      "@type": "propertyValue"
    },
    {
      "name": "subj",
      "description": "de-identified subject id",
      "@type": "propertyValue"
    },
    {
      "name": "dv",
      "description": "question asked of participants: Force, Probability or Tired",
      "@type": "propertyValue"
    },
    {
      "name": "response",
      "description": "continuous response 0-100\n\nForce: How much force will this agent need to expend in order to successfully perform the action? (0 = This agent will need to expend very little force; 100 = This agent will need to expend a great amount of force)\n\nProbability: What do you think is likely to happen? (0 = The agent will definitely fail; 100 = The agent will definitely succeed)\n\nTired: Imagine that the agent successfully jumps across the cliff. How tired will they be afterwards? (0 - This agent will not be tired at all; 100 - This agent will be extremely tired)",
      "@type": "propertyValue"
    }
  ]
}`